An approach is cross-model when it covers multiple types of models rather than one specific type of models, and thus can be applied to compare two or more different types of models. For example, Khrulkov et al. [1]} compare the complexity of general RNNs, CNNs and shallow FCNNs by building connections among these network architectures and tensor decompositions.
